Cihan Mert

14 papers receiving 450 citations

Peers

Cihan Mert
Comparison fields: 5 of 84
  • Environmental Engineering 201
  • Water Science and Technology 96
  • Global and Planetary Change 96
  • Artificial Intelligence 125
  • Renewable Energy, Sustainability and the Environment 56
Replace Yusuf Essam with:
Yusuf Essam Malaysia
Ufuk Beyaztaş Türkiye
Roozbeh Moazenzadeh Iran
Cristina Díaz Muñiz Spain
Aranildo Rodrigues Lima Junior Canada
Fateh Chebana Canada
Norazian Mohamed Noor Malaysia
Ichiro Kita Japan
Yinghai Li China
Jianhua Dong China
Cihan Mert relative to Yusuf Essam Malaysia Yusuf Essam's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cihan Mert

Since Specialization
Citations

This map shows the geographic impact of Cihan Mert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cihan Mert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cihan Mert more than expected).

Fields of papers citing papers by Cihan Mert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cihan Mert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cihan Mert. The network helps show where Cihan Mert may publish in the future.

Co-authors

The 18 scholars most cited alongside Cihan Mert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cihan Mert Line = papers co-authored together Cihan Mert links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2017133
2 2020101
3 201877
4 202062
5 201754
6 201317
7 20115
8 20135
9 20143
10
TIME SERIES ANALYSIS ON STOCK MARKET FOR TEXT MINING CORRELATION OF ECONOMY NEWS
20143
11 20141
12
Heuristic Analysis of Time Series Internal Structure
20111
13 20171
14 20141

About Cihan Mert

Cihan Mert is a scholar working on Signal Processing, Management Science and Operations Research, Environmental Engineering, Artificial Intelligence and Economics and Econometrics, having authored 14 papers that have together received 464 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (4 papers), Complex Systems and Time Series Analysis (3 papers), Stock Market Forecasting Methods (3 papers), Time Series Analysis and Forecasting (3 papers), Solar Radiation and Photovoltaics (3 papers), Network Packet Processing and Optimization (1 paper), Text and Document Classification Technologies (1 paper) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Environmental Engineering (201 citations), Water Science and Technology (96 citations), Global and Planetary Change (96 citations), Artificial Intelligence (125 citations) and Renewable Energy, Sustainability and the Environment (56 citations). Cihan Mert has collaborated with scholars based in Georgia, Iran and United Arab Emirates. Frequent co-authors include Özgür Kişi, Behrooz Keshtegar, Meysam Alizamir, Ali Najah Ahmed, Ahmed El‐Shafie, Nam Won Kim, Chow Ming Fai, Sungwon Kim, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ and Pijush Samui. Their work appears in journals such as Hydrology research, Computers and Electronics in Agriculture, Renewable and Sustainable Energy Reviews, Environmental Science and Pollution Research and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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